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Modelling to estimate future trends in cancer prevalence
Francesca Fiorentino1, Jacob Maddams, Henrik Møller
1Clinical Operational Research Unit, University College London, London, UK. f.fiorentino@imperial.ac.uk
Health Care Management Science
|February 24, 2011
Summary
Estimating future cancer prevalence in the UK is crucial for planning health and social care services. This study developed an analytical model to forecast cancer prevalence trends, considering incidence and survival rates.
Area of Science:
- Oncology
- Health Services Research
- Biostatistics
Background:
- The UK population living with or beyond cancer is growing, necessitating better assessment of health and social care needs.
- Accurate forecasting of cancer prevalence is essential for effective resource allocation and service planning.
Purpose of the Study:
- To develop and present a simple analytical model for estimating future cancer prevalence in the UK.
- To provide a framework for understanding the drivers of future cancer prevalence, including current and future diagnoses.
Main Methods:
- Construction of a simple analytical model to estimate future cancer prevalence.
- Utilizing existing prevalence data, cancer incidence trends, and survival rates.
- Application of a conditional survival model incorporating time since diagnosis, age, and tumor type for the current prevalent population.
Main Results:
- The model generates separate estimates for the contribution of the current prevalent population and future diagnoses to future cancer prevalence.
- The analytical framework is designed to inform health and social care service planning.
Conclusions:
- The developed analytical model offers a valuable tool for predicting future cancer prevalence trends in the UK.
- This forecasting capability is vital for proactive planning and delivery of health and social care services to the growing cancer population.
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